Duvi

Product Introduction

1. Definition: Duvi is a multimodal AI agent development platform. Technically, it is a no-code/low-code environment that allows users to create, deploy, and manage conversational AI agents capable of handling voice, chat, and automated actions across multiple digital channels.
2. Core Value Proposition: Duvi exists to eliminate the technical complexity and channel-specific fragmentation of deploying enterprise-grade AI agents. Its primary value is enabling businesses to build a single, unified AI agent that understands their business context, connects to their operational tools, and provides consistent, actionable support on their website, phone line, and WhatsApp without requiring separate engineering projects for each channel.

Main Features

1. Natural Language Agent Builder: The core interface is a conversational builder where users describe their desired agent in plain English. The system interprets these instructions, automatically scopes the agent's capabilities, and suggests configurations. This works by parsing user intent and mapping it to pre-built modules for knowledge ingestion, tool connections, and channel deployment.
2. Unified Omnichannel Deployment: Duvi agents are configured once and deployed simultaneously as a website chat widget, a voice agent on a business phone line (PSTN/VoIP), and a conversational interface on WhatsApp Business API. This is achieved through a central orchestration layer that adapts the agent's logic and state management to the protocols and UX requirements of each channel (e.g., handling audio streaming for voice, rich media for WhatsApp).
3. Live Knowledge & Connected Actions: Agents are not limited to static FAQs. They ingest knowledge directly from a user's website or documents and can perform real-time queries to connected business systems. For example, an agent can check live inventory from a Shopify or WooCommerce store, process a return via Stripe, or create a ticket in Linear. This is facilitated through OAuth-based integrations and a secure, permissioned action framework that executes predefined operations.
4. Integrated Team Workspace: Every customer interaction is logged in a centralized workspace where human team members can view full conversation transcripts, see the actions taken by the AI, and seamlessly take over or follow up. This provides context continuity, preventing customers from repeating themselves when escalated to a human agent.

Problems Solved

1. Pain Point: Channel Silos and Context Loss. Businesses typically use separate tools for website chat, phone support, and WhatsApp, leading to disjointed customer experiences where history and context do not carry over, forcing customers to repeat information.
2. Pain Point: High Development Overhead for Conversational AI. Building, integrating, and maintaining a functional AI agent that can both answer questions and perform actions requires significant software engineering, LLM expertise, and DevOps resources, putting it out of reach for many teams.
3. Target Audience: SMB Owners and Operations Managers seeking to automate customer service and sales inquiries without a technical team; Product and Growth Leads in digital-native companies needing to scale personalized customer interactions; Customer Support Directors aiming to reduce ticket volume and improve resolution time across all communication touchpoints.
4. Use Cases: An e-commerce store automates post-sale support: the Duvi agent answers product availability questions (live knowledge), helps track orders (connected to Shopify), processes returns (action via Stripe), and does this via chat on the product page, voice on the customer service line, and WhatsApp for international customers—all from one agent configuration.

Unique Advantages

1. Differentiation: Unlike standalone chatbot builders (e.g., ManyChat, Intercom) or voice AI platforms, Duvi is a true omnichannel agent platform. Competitors often specialize in one modality (text or voice) or require complex stitching of multiple APIs. Duvi provides a single agent logic core that is inherently multimodal from the ground up.
2. Key Innovation: The "conversational builder" paradigm itself is a significant innovation. Instead of configuring forms, dialogs, and intents, users "talk" the agent into existence. The platform's ability to infer necessary steps—like automatically adding e-commerce cart tools after recognizing a Shopify site—demonstrates an AI-native approach to development, drastically reducing setup time and technical barrier.

Frequently Asked Questions (FAQ)

1. How does Duvi handle AI voice agents on phone calls compared to text chat? Duvi's voice agents are specifically engineered for the telephony environment, utilizing optimized speech-to-text and text-to-speech models with low latency. The system prompts are tuned for shorter, more conversational responses suitable for audio, and the agent maintains session state to handle interruptions and pauses common in phone conversations, unlike chatbots designed purely for text.
2. What kind of business systems can a Duvi AI agent connect to and take action on? Duvi agents connect to a wide range of systems via native integrations and Zapier. Key categories include e-commerce platforms (Shopify, WooCommerce), payment processors (Stripe, PayPal), CRM and helpdesk tools, databases (Airtable, Supabase), and project management apps (Linear, monday.com). Most connections are established through secure OAuth sign-in.
3. Is coding required to build and deploy an AI agent with Duvi? No, Duvi is designed as a no-code platform. The primary method of building an agent is through natural language description in the conversational builder. Technical users can access advanced settings, but the core workflow of defining knowledge, connecting tools, and deploying across website, phone, and WhatsApp requires no programming.
4. How does Duvi ensure consistent answers and logic across WhatsApp, web chat, and phone support? Duvi uses a single, centralized agent brain (knowledge base, reasoning logic, and action set) for all channels. Whether a customer interacts via text on WhatsApp, chat on the web, or voice on a call, they are engaging with the same agent instance. This ensures identical information, capabilities, and conversation history, eliminating channel-specific inconsistencies.